Fiona E. McRonald
Impact in
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Renal cell carcinoma treatment
- Cell Biology top 10%
- Hemoglobin structure and function
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
- Epigenetics and DNA Methylation 2
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- Skin and Cellular Biology Research 3
- Hemoglobin structure and function 2
- Co-authors
- John K. Field (8 shared papers)Janet M. Risk (6 shared papers)Stephen W. Duffy (3 shared papers)Farida Latif (3 shared papers)Dean Gentle (3 shared papers)David Baldwin (2 shared papers)Ben Carter (2 shared papers)David M. Hansell (2 shared papers)
- Journals
- Human Molecular Genetics (2 papers)Oncogene (2 papers)British Journal of Dermatology (1 paper)Human Genetics (1 paper)Genome biology (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Fiona E. McRonald
16 papers receiving 882 citations
Peers
Comparison fields: 5 of 75
- Pulmonary and Respiratory Medicine 270
- Cell Biology 144
- Cancer Research 83
- Molecular Biology 395
- Otorhinolaryngology 19
Countries citing papers authored by Fiona E. McRonald
This map shows the geographic impact of Fiona E. McRonald's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fiona E. McRonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona E. McRonald more than expected).
Fields of papers citing papers by Fiona E. McRonald
This network shows the impact of papers produced by Fiona E. McRonald. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fiona E. McRonald. The network helps show where Fiona E. McRonald may publish in the future.
Co-authors
The 25 scholars most cited alongside Fiona E. McRonald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 166 | |
| 2 | 2015 | 145 | |
| 3 | 2012 | 130 | |
| 4 | 2016 | 69 | |
| 5 | 2009 | 65 | |
| 6 | 2006 | 60 | |
| 7 | 2010 | 56 | |
| 8 | 2006 | 48 | |
| 9 | 2012 | 37 | |
| 10 | 2004 | 27 | |
| 11 | 2002 | 25 | |
| 12 | 2008 | 22 | |
| 13 | 2013 | 19 | |
| 14 | 2005 | 15 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 5 | |
| 17 | 2025 | 0 |
About Fiona E. McRonald
Fiona E. McRonald is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 17 papers that have together received 897 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Skin and Cellular Biology Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (2 papers), Hemoglobin structure and function (2 papers), Genetic factors in colorectal cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (270 citations), Cell Biology (144 citations), Cancer Research (83 citations), Molecular Biology (395 citations) and Otorhinolaryngology (19 citations). Fiona E. McRonald has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include John K. Field, Janet M. Risk, Stephen W. Duffy, Farida Latif, Dean Gentle, David Baldwin, Ben Carter, David M. Hansell, Kate Lifford and Mark R. Morris. Their work appears in journals such as Human Molecular Genetics, Oncogene, British Journal of Dermatology, Human Genetics and Genome biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.